Abstract: The present invention relates to a method for facilitating a human-machine conversation for responding to a user query received from a user. The method includes determining at least one of a category and a context of the user query and implementing a first model and a second model for responding to the user query. The second model is triggered when the first model is unable to respond to the user query. The method further includes configuring one or more crawlers for accessing corresponding one or more databases of a plurality of databases for retrieving the relevant information and generating a second model. The method also includes enabling the second model to present the relevant information to the user based on the second model score. The second model updates the first model with the relevant information and its corresponding second model score.

Abstract: The present disclosure describes a method and system for generating at least one pattern from at least one data set using quantum computing. The system comprises at least one quantum processor; and at least one non-quantum processor operatively coupled to the at least one quantum processor and configured to process the at least one data set to generate at least one first intermediary pattern comprising at least one first keyword and transmit the generated pattern(s) to the quantum processor(s). The quantum processor(s) is configured to receive the data set(s) and the first intermediary pattern(s); process the data set(s) to generate at least one second intermediary pattern and at least one corresponding metadata; and process the first intermediary pattern(s) and the at least one second intermediary pattern(s) to generate the at least one final pattern.

Abstract: Method and system for generating a service proposal response. The method comprises receiving (301) a request for service proposal indicative of a type of service requested, collating (303) data from a plurality of repositories based on the type of service requested, extracting (305) required information from the collated data, creating (307) a discrete stack for the extracted information for the data collated from each of the plurality of repositories, processing (309) each of the discrete stack to add a context to the extracted information, filtering (311) each of the processed discrete stack by applying at least one of a Natural Language Processing (NLP) technique and deep learning technique to create a knowledge container, and dynamically generating (313), using the filtered information with the key insights, the service proposal response for the type of service requested.

Abstract: Methods and system for solving an issue in an infrastructure is described. The method comprises identifying (201) the issue based on monitoring of the infrastructure, extracting (203) one or more standalone solutions related to the identified issue from a repository, creating (205) one or more combination of solutions from the extracted one or more standalone solutions, computing (207) Multi Directional Truepath Discovery (MDTD) score for each of the extracted one or more solutions and each of the created combination of solutions, selecting (209) either a standalone solution or a combination of solutions based on highest MDTD score, and implementing (211) the selected standalone solution or combination of solutions.

Abstract: The present invention relates to a method for facilitating a human-machine conversation for responding to a user query received from a user. The method includes determining at least one of a category and a context of the user query and implementing a first model and a second model for responding to the user query. The second model is triggered when the first model is unable to respond to the user query. The method further includes configuring one or more crawlers for accessing corresponding one or more databases of a plurality of databases for retrieving the relevant information and generating a second model. The method also includes enabling the second model to present the relevant information to the user based on the second model score. The second model updates the first model with the relevant information and its corresponding second model score.

Abstract: Methods and system for solving an issue in an infrastructure is described. The method comprises identifying (201) the issue based on monitoring of the infrastructure, extracting (203) one or more standalone solutions related to the identified issue from a repository, creating (205) one or more combination of solutions from the extracted one or more standalone solutions, computing (207) Multi Directional Truepath Discovery (MDTD) score for each of the extracted one or more solutions and each of the created combination of solutions, selecting (209) either a standalone solution or a combination of solutions based on highest MDTD score, and implementing (211) the selected standalone solution or combination of solutions.